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Welcome to the official documentation for RAGit, an open-source framework crafted to simplify the development and management of Retrieval-Augmented Generation (RAG) solutions. RAGit abstracts the complexities of data handling, model selection, and infrastructure setup, allowing developers to focus on application logic and customization. The Key Principles of RAGit are the following:

Open Source

RAGit is proudly offered under the GPL license, ensuring it remains open source for all current and future users.

Generality

RAGit is adaptable to any dataset, accommodating a wide array of data types. This flexibility provides a robust foundation for crafting customized RAG applications.

Simplicity

Our framework prioritizes user-friendliness by abstracting complex data management processes. With RAGit, you can focus on refining document selection and optimizing outcomes without delving into intricate implementation details.

Configurability

RAGit offers a high degree of customization. Experiment with hyperparameters, explore various chunk splitting strategies, adjust vector distance algorithms, and apply prompt engineering to gain full control over your RAG pipeline.

Comprehensiveness

Beyond model training and inference, RAGit equips you with tools for efficient data ingestion, processing, and management, supporting every phase of your project.

Vendor Neutrality

RAGit remains agnostic to specific technologies, allowing for easy integration and switching between diverse components and services.

By embracing these guiding principles, RAGit accelerates the creation of effective and robust RAG solutions. Explore our framework to harness its full potential and drive your projects forward.